Customer Solutions Architect

present of AI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Checkbox is the AI-powered legal intake platform, and this role is the technical lead for large enterprise customers. You will work hands-on with integrations, APIs, and identity setups to shape end-to-end solutions for major clients.

You will engage with senior stakeholders, run workshops, and deliver demos while translating complex requirements into concrete architectures. The ideal candidate combines customer-facing tech experience with practical implementation skills.

Qualifications

• Several years in a customer-facing technical role at a B2B software company.
• Proven delivery experience for large enterprise accounts.
• Hands-on with APIs, webhooks, and identity setups like SSO and SCIM.
• Capable of building and configuring solutions directly, not just writing specs.
• Maintains composure when engaging with senior stakeholders and vague requirements.

Responsibilities

• Lead technical engagements with large enterprise customers.
• Architect and implement integrations and workflows.
• Conduct customer workshops, demos, and architecture reviews.
• Collaborate with product and engineering to shape integrations.

Skills

API integration

Webhook integration

SSO setup

SCIM setup

Low-code workflows

Education

Bachelor's degree in CS or related field

Job description

This role is the technical lead for large enterprise customers of a legal intake platform. A strong candidate has several years in a customer facing technical job at a B2B software company, has delivered for big accounts, and is hands on with APIs, webhooks and identity setups like SSO and SCIM. The person should build and configure solutions directly rather than only writing specs, and stay calm with senior stakeholders and unclear requirements.

How it fits the AI era

The product uses AI to catch and route routine legal requests, so much of the setup work is about shaping workflows and integrations around that automation. The human side stays in architecture, customer workshops, demos and judgment about how a large legal team actually works. AI speeds up building and prototyping, but trust with enterprise customers still comes from people.

How it builds AI experience

Working here means seeing how AI intake and routing is configured for real legal departments, which builds practical skill in applying AI to service workflows. A candidate can prepare by getting hands on with API and identity integrations and with low code workflow tools, then practicing how to design reusable patterns. Exposure to legal tech helps but is not required.

Worth showing

• API and webhook integration
• SSO and SCIM setup
• Low code workflow building

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Checkbox

An AI "Legal Front Door" that catches routine legal requests from email, Slack and Teams, and routes the rest to in-house lawyers.